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A dynamic collaborative filtering system via a weighted clustering approach

Neurocomputing (Amsterdam), 2016-01, Vol.175, p.206-215

2016

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CoClust : A Python Package for Co-Clustering

Journal of statistical software, 2019-03, Vol.88 (7), p.1-29

2019

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Poisson degree corrected dynamic stochastic block model

Advances in data analysis and classification, 2023-03, Vol.17 (1), p.135-162

2023

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Implicit consensus clustering from multiple graphs

Data mining and knowledge discovery, 2021-11, Vol.35 (6), p.2313-2340

2021

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Regularized bi-directional co-clustering

Statistics and computing, 2021-05, Vol.31 (3), Article 32

2021

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Efficient regularized spectral data embedding

Advances in data analysis and classification, 2021-03, Vol.15 (1), p.99-119

2021

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Graph modularity maximization as an effective method for co-clustering text data

Knowledge-based systems, 2016-10, Vol.109, p.160-173

2016

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Power Attributed Graph Embedding and Clustering

IEEE transaction on neural networks and learning systems, 2024-01, Vol.35 (1), p.1439-1444

2024

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Endotypes identified by cluster analysis in asthmatics and non-asthmatics and their clinical characteristics at follow-up: the case-control EGEA study

BMJ open respiratory research, 2020-12, Vol.7 (1), p.e000632

2020

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Unsupervised and self-supervised deep learning approaches for biomedical text mining

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1592-1603

2021

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Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)

Pattern recognition, 2020-12, Vol.108, p.107522, Article 107522

2020

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A Semi-NMF-PCA Unified Framework for Data Clustering

IEEE transactions on knowledge and data engineering, 2017-01, Vol.29 (1), p.2-16

2017

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Co-clustering

2013

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Social regularized von Mises–Fisher mixture model for item recommendation

Data mining and knowledge discovery, 2017-09, Vol.31 (5), p.1218-1241

2017

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Boosting Subspace Co-Clustering via Bilateral Graph Convolution

IEEE transactions on knowledge and data engineering, 2024-03, Vol.36 (3), p.960-971

2024

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Ensemble methods for biclustering tasks

Pattern recognition, 2012-11, Vol.45 (11), p.3938-3949

2012

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Sparse Poisson Latent Block Model for Document Clustering

IEEE transactions on knowledge and data engineering, 2017-07, Vol.29 (7), p.1563-1576

2017

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Co-Clustering: Models, Algorithms and Applications

1, 2013

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Semi-supervised Latent Block Model with pairwise constraints

Machine learning, 2022-05, Vol.111 (5), p.1739-1764

2022

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Hard and fuzzy diagonal co-clustering for document-term partitioning

Neurocomputing (Amsterdam), 2016-06, Vol.193, p.133-147

2016

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Simultaneous Spectral Data Embedding and Clustering

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6396-6401

2018

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TensorClus: A python library for tensor (Co)-clustering

Neurocomputing (Amsterdam), 2022-01, Vol.468, p.464-468

2022

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A Unified Framework for Data Visualization and Coclustering

IEEE transaction on neural networks and learning systems, 2015-09, Vol.26 (9), p.2194-2199

2015

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Diagonal latent block model for binary data

Statistics and computing, 2017-09, Vol.27 (5), p.1145-1163

2017

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Improving NMF clustering by leveraging contextual relationships among words

Neurocomputing (Amsterdam), 2022-07, Vol.495, p.105-117

2022

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A dynamic collaborative filtering system via a weighted clustering approach

CoClust : A Python Package for Co-Clustering

Poisson degree corrected dynamic stochastic block model

Implicit consensus clustering from multiple graphs

Regularized bi-directional co-clustering

Efficient regularized spectral data embedding

Graph modularity maximization as an effective method for co-clustering text data

Power Attributed Graph Embedding and Clustering

Endotypes identified by cluster analysis in asthmatics and non-asthmatics and their clinical characteristics at follow-up: the case-control EGEA study

Unsupervised and self-supervised deep learning approaches for biomedical text mining

Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)

A Semi-NMF-PCA Unified Framework for Data Clustering

Co-clustering

Social regularized von Mises–Fisher mixture model for item recommendation

Boosting Subspace Co-Clustering via Bilateral Graph Convolution

Ensemble methods for biclustering tasks

Sparse Poisson Latent Block Model for Document Clustering

Co-Clustering: Models, Algorithms and Applications

Semi-supervised Latent Block Model with pairwise constraints

Hard and fuzzy diagonal co-clustering for document-term partitioning

Simultaneous Spectral Data Embedding and Clustering

TensorClus: A python library for tensor (Co)-clustering

A Unified Framework for Data Visualization and Coclustering

Diagonal latent block model for binary data

Improving NMF clustering by leveraging contextual relationships among words

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